Dyadic scale space
نویسندگان
چکیده
We approximate Gaussian function with a n y scale by linear combination of Gaussian functions with dyadic scales so that Scale Space can be constructed much more eficiently. The approximation error is so small that our approach can be used widely in computer vision and pattern recognition. Features at any scale can also be found eficiently by tracking from the dyadic scales.
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ورودعنوان ژورنال:
- Pattern Recognition
دوره 30 شماره
صفحات -
تاریخ انتشار 1996